Why did you set the number of 1000 threads?
Does it show to be the more performatic when threads = auto?
I have used stress tool in a larger test bed (10 nodes) and my optimal
setup was 24 threads.
To check this you must monitor the stress node, both the CPU and I/O. And
give it a try with fewer threads.
2018-02-18 8:29 GMT-03:00 onmstester onmstester <onmstes...@zoho.com>:
> I've configured a simple cluster using two PC with identical spec:
> cpu core i5
> RAM: 8GB ddr3
> Disk: 1TB 5400rpm
> Network: 1 G (I've test it with iperf, it really is!)
> using the common configs described in many sites including datastax itself:
> cluster_name: 'MyCassandraCluster'
> num_tokens: 256
> - class_name: org.apache.cassandra.locator.SimpleSeedProvider
> - seeds: "192.168.1.1,192.168.1.2"
> rpc_address: 0.0.0.0
> endpoint_snitch: GossipingPropertyFileSnitch
> Running stress tool:
> cassandra-stress write n=1000000 -rate threads=1000 -mode native cql3 -node
> Over each node it shows 39 K writes/seconds, but running the same stress
> tool command on cluster of both nodes shows 45 K writes/seconds. I've done
> all the tuning mentioned by apache and datastax. There are many use cases
> on the net proving Cassandra linear Scalability So what is wrong with my
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